AI Visibility Rankings Dashboard

The AI Visibility Rankings dashboard shows the grounding searches (fan-out queries) performed during your AI Visibility Reports. These are the actual searches AI assistants run to gather information before responding to users.

Different assistants ground in different search engines. ChatGPT and Google Gemini ground in Google, while Claude grounds in Brave. Spyglasses checks each grounding search in the engine the assistant that produced it actually uses, so your ranks reflect what that assistant could have seen.

What You'll Learn

In this guide, you'll learn:

• What grounding searches are and why they matter
• How to interpret ranking data
• How to use impact scores to prioritize
• How to view competitor rankings

Understanding Grounding Searches

When you ask an AI assistant a question like "What project management tools work best for remote teams?", the AI doesn't just rely on its training data. It performs searches to gather current information. These searches are called grounding searches or fan-out queries.

For example, that question might trigger searches like:

• "best project management tools remote teams 2026"
• "project management software features comparison"
• "top rated tools for distributed teams"

Ranking for these searches is one of the most straightforward ways to improve AI visibility. If your content appears in the top results for a grounding search (top 30 on Google, top 20 on Brave), you're much more likely to be mentioned in the AI response.

Rankings Table

The main table shows each grounding search with:

Interpreting Ranks

• 1-10: Strong position - you're likely to be cited
• 11-20: Moderate position - may or may not be included
• 21-30: Weak position - likely not being considered
• Blank: Not ranking in the top results - definitely not cited (for this query)

The engine column tells you which index a rank applies to. A search ChatGPT or Gemini performed is checked in Google; a search Claude performed is checked in Brave (which returns up to 20 results, so Brave ranks top out at 20). Use the engine filter to focus on one index at a time.

Impact Score Explained

The Impact Score helps you prioritize which grounding searches to target. It's calculated based on:

1. Query frequency: Searches used in more discovery queries have higher impact
2. Current rank: Lower or missing ranks have more improvement potential
3. Competitor presence: Searches where competitors rank well are higher priority
4. Search relevance: Searches more central to your category matter more

High impact scores indicate the best optimization opportunities. Focus your content efforts on these searches first.

Using Impact Scores

Sort the table by Impact Score to see your highest-priority opportunities. For each:

1. Check if you have existing content targeting this search
2. If yes: Optimize the page for better ranking
3. If no: Create new content specifically targeting this search
4. After ranking improvements, check [/docs/dashboards/recrawl-frequency](recrawl frequency) and when appropriate, run a new report to verify AI now picks up that source

Viewing Competitor Rankings

Click on any grounding search row to expand it and see which competitors rank for that query.

For each competitor you'll see:

• Their ranking position
• The specific page URL that ranks
• Whether they outrank you

Competitive Insights

This data shows:

• Which competitors are winning: Consistently high-ranking competitors are dominating AI recommendations
• What content works: The pages that rank show you what type of content AI values
• Gap opportunities: Searches where competitors rank but you don't are priority targets

Filtering and Sorting

Use filters to focus on specific segments:

• Has rank / No rank: Filter to searches where you do or don't rank
• Impact score range: Focus on high or low priority searches
• Query type: Filter by category (best in category, comparison, etc.)

Taking Action

For High-Impact Searches Where You Don't Rank

1. Review the search query carefully
2. Check what competitors' pages cover
3. Create comprehensive content targeting this exact query
4. Include relevant keywords naturally
5. Add structured data where appropriate
6. Wait for indexing, then verify ranking
7. Run a new AI Visibility Report to confirm improvement

For Searches Where You Rank Poorly

1. Identify which page currently ranks
2. Audit the content against top competitors
3. Expand coverage of the topic
4. Improve on-page SEO factors
5. Build authority through internal linking
6. Monitor ranking improvements
7. Re-test with a new report

Best Practices

Target Multiple Grounding Searches Per Content Piece

A single comprehensive guide can rank for multiple related grounding searches. Rather than creating thin pages for each search, build thorough content that covers the topic completely.

Prioritize High-Query-Count Searches

Searches that appear in multiple discovery queries give you the best leverage. Ranking for one search that's used in 5 queries is more valuable than ranking for 5 searches used once each.

Monitor Changes Over Time

Rankings fluctuate. After optimizing content, track whether your rankings improve in subsequent reports. Sustained improvement indicates successful optimization.

Optimize for the Right Engine

ChatGPT and Gemini ground their searches in Google, so Google SEO drives most of your AI visibility. Claude grounds in Brave, so if your audience uses Claude, make sure your content also ranks in Brave. Brave draws heavily on its own independent index, so a page that ranks in Google won't automatically rank in Brave — check both when Claude is important to you.

Related

• AI Visibility Reports - Run reports to generate ranking data
• Historical Metrics - Track gap trends over time
• Discovery Queries - Manage the queries that trigger grounding searches